Data Quality Engineer

Stellent IT LLC; Charlotte (NC); Hybrid; USD 110,000 - 150,000; Full time

Job summary

Stellent IT LLC is seeking an experienced Data Quality Engineer to support governance, quality, and lineage initiatives across capital markets data domains. The role emphasizes Collibra-driven governance, Azure-based data platforms, and collaboration with data strategy and engineering teams to deliver trusted data.

The candidate should bring deep expertise in data quality, metadata management, and data profiling, with strong SQL and Python skills, and familiarity with CI/CD practices.

Qualifications

• 10+ years of experience in data governance or data quality roles.

Responsibilities

• Develop and maintain data quality rules using Collibra DQ.
• Implement and manage data governance assets (business glossary, data catalog, stewardship workflows).
• Support data lineage mapping across systems and pipelines.
• Perform data profiling, validation, and issue analysis using SQL.
• Integrate Collibra with Azure data platform (ADF, Databricks, Data Lake).
• Develop automation and utilities using Python or similar languages.
• Collaborate with Data Owners and Engineers to define and enforce DQ controls.
• Ensure code promotion using CI/CD, version control (Git), and deployment best practices.
• Maintain documentation and governance artifacts in Confluence and repositories.

Skills

Data governance

Data quality

SQL

Python

Collibra

Azure Data Platform

Data lineage

Data profiling

CI/CD

Git

Tools

Collibra

Azure Data Platform

Git

CI/CD

Job description

Data Quality Engineer

Location: Charlotte, NC (two days hybrid)

Interview: Teams with final round in person possible (must be agreed upon at submittal)

Visa: NO H1 (VISA must be accurate; if you send me a GC who later turns out to be OPT, our relationship is done immediately; just be honest)

Exp Level: 10+ years

Duration: 12 months +

Role Description

SMBC is undergoing a digital transformation to modernize its enterprise data platform across Capital Markets and Nikko Securities. As part of this initiative, we are seeking an experienced Data Governance / Data Quality Engineer to support the design and implementation of data governance, data quality, and lineage solutions using Collibra and Azure-based platforms.

This role will work closely with Data Strategy, Business, and Data Engineering teams to ensure high-quality, governed, and trusted data across key domains such as Reference data, Market data and Operational data.

Role Objectives

• Support enterprise data governance and data quality initiatives across critical data domains
• Implement and enhance Collibra-based governance and DQ capabilities
• Ensure data quality, lineage, and metadata management are embedded into the data platform
• Collaborate with cross-functional teams to deliver scalable, governed data solutions

Key Responsibilities

• Develop and maintain data quality rules using Collibra DQ
• Implement and manage data governance assets (business glossary, data catalog, stewardship workflows)
• Support data lineage mapping across systems and pipelines
• Perform data profiling, validation, and issue analysis using SQL
• Integrate Collibra with Azure data platform (ADF, Databricks, Data Lake)
• Develop automation and utilities using Python or similar languages
• Collaborate with Data Owners and Engineers to define and enforce DQ controls
• Ensure code promotion using CI/CD, version control (Git), and deployment best practices
• Maintain documentation and governance artifacts in tools like Confluence and repositories

Experience in financial services industry, financial instruments, asset classes and market data are a plus.